Clinical characteristics, rapid identification, molecular epidemiology and antifungal susceptibilities of Talaromyces marneffei infections in Shenzhen, China.
Susanna Kar-Pui LauFanfan XingChi-Ching TsangJames Y M TangYen-Pei TanHaiyan YeRicky W T LauJonathan H K ChenSimon K F LoPatrick Chiu-Yat WooPublished in: Mycoses (2019)
Although case series of talaromycosis have been reported in China, their detailed clinical and microbiological characteristics have never been systematically profiled. In this study, we report the clinical characteristics, molecular epidemiology, rapid identification and antifungal susceptibilities of talaromycosis in The University of Hong Kong-Shenzhen Hospital in Shenzhen. Seven cases of talaromycosis were observed since commencement of hospital service in 2012. Three patients were local Shenzhen residents, whereas the other four were immigrants from other parts of China. Two patients were HIV-negative, but with underlying diseases requiring immunosuppressive therapy. Two of the seven patients succumbed. All the seven isolates were successfully identified as T. marneffei by MALDI-TOF MS using Bruker database expanded with in-house generated T. marneffei mass spectra. MLST showed that the seven strains belonged to six different, novel sequences types. Phylogenetic analyses of the concatenated five-locus sequence revealed that the seven strains were scattered amongst other T. marneffei strains. The MICs of itraconazole, isavuconazole, posaconazole and voriconazole against the seven clinical isolates were low but MICs of anidulafungin were high. Underlying diseases other than HIV infection are increasingly important risk factors of talaromycosis. MALDI-TOF MS is useful for rapid identification. Highly diverse T. marneffei sequence types were observed.
Keyphrases
- end stage renal disease
- ejection fraction
- chronic kidney disease
- risk factors
- healthcare
- escherichia coli
- peritoneal dialysis
- mass spectrometry
- mental health
- human immunodeficiency virus
- patient reported outcomes
- quantum dots
- single cell
- hiv aids
- molecular dynamics
- mesenchymal stem cells
- patient reported
- bioinformatics analysis